OpenZeppelin finds data contamination in OpenAI’s EVMbench

OpenZeppelin questioned OpenAI’s recent EVMbench results after finding that the AI models were likely exposed to ...
Journal of Medical Internet Research

How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective

We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using ...
GitHub

Incorrect dataset link for

has a link to the associated lung dataset on 10x Genomics. However, the dataset being shown in the tutorial: does not match the one in the link: I think that the ...
GitHub

Dataset creation tutorial(s) are confusing

Currently, we have two tutorials with the exact same title: Tutorial 4: Creating a dataset class and Tutorial 5: Creating a dataset class. This is confusing the the users and they should be merged. In ...
Oak Ridge National Lab

Peregrine releases new dataset for smarter 3D printing

Oak Ridge National Laboratory’s Peregrine software, used to monitor and analyze parts created through powder bed additive manufacturing, has released its most advanced dataset to date. In its ongoing ...
IEEE

PDGCL-DTI: Parallel Dual-channel Graph Contrastive Learning for Drug-Target Binding Prediction in Heterogeneous Networks

Abstract: Predicting drug-target interactions (DTI) is critical for advancing drug discovery. However, existing DTI approaches struggle with data imbalance and heterogeneous information. This study ...
Fast Company

Julius is a great AI tool for analyzing and visualizing datasets

This article is republished with permission from Wonder Tools, a newsletter that helps you discover the most useful sites and apps. Subscribe here. Julius is a promising new AI service for analyzing ...